ZIP code
92236
in Coachella, CaliforniaPopulation 43,642
42.94/ 100
Ranked #24,433 of 32,066 US ZIPs (bottom 24%)
Ranked #1,393 of 1,719 California ZIPs (bottom 19%)
Ranked #115 of 153 Riverside-San Bernardino-Ontario, CA ZIPs (bottom 25%)
Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.
What defines this ZIP
Metrics where this ZIP sits in the tails of the national distribution — the ones that most set it apart. Select any tile for its definition and methodology.
Uninsured (under 65)
25.7%
in the top 2.0% nationally
Lower is healthier
ST97thUS98thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Colon-cancer screening
48.2%
in the bottom 1.5% nationally
Higher is healthier
ST7thUS1stDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Dry extreme heat
133.8 days/year
in the top 0.4% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Subsidized affordable housing
1,382 units
in the top 0.8% nationally
Higher is healthier
ST98thUS99thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Housing insecurity
29.6%
in the top 1.9% nationally
Lower is healthier
ST96thUS98thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Loneliness
41.5%
in the top 2.3% nationally
Lower is healthier
ST91stUS98thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Fair or poor health
33%
in the top 4.3% nationally
Lower is healthier
ST92ndUS96thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Food insecurity
35.3%
in the top 3.4% nationally
Lower is healthier
ST94thUS97thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Expected annual disaster loss
$0
in the top 3.5% nationally
Lower is healthier
ST81stUS97thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Cognitive disability
21.4%
in the top 5.1% nationally
Lower is healthier
ST93rdUS95thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›The read
Coachella, California (ZIP 92236) ranks in the bottom 24% nationally (24,433rd) and the bottom 19% of California (1,393rd).
The weightiest signals in the profile are worth naming up front: modeled uninsured sits in the top 2.0% nationally, and colon screening resides in the bottom 1.5% nationally. Modeled extreme heat stands in the top 0.4% nationally, and housing insecurity sits in the top 1.9% nationally. Modeled loneliness resides in the top 2.3% nationally, fair or poor health stands in the top 4.3% nationally, and food insecurity sits in the top 3.4% nationally. Modeled expected annual loss resides in the top 3.5% nationally, and cognitive disability stands in the top 5.1% nationally. More positively, subsidized affordable housing sits in the top 0.8% nationally.
Against its neighbors, subsidized affordable housing runs far higher than the surrounding ZIPs on this measure. For context, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. Subsidized affordable housing is the main federal tax-credit program (HUD) funding affordable rental housing, counted as local units it supports. The closest ZIP that ranks healthier overall is ZIP 92201, just across the boundary.
What’s driving this score
Nine domains make up the ZipVitals Score — here is how this ZIP does on each, and how much each one counts. Compare it against the US, this state and the Riverside-San Bernardino-Ontario, CA metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Chronic Disease Burden
healthier than 90%
21%
Environmental Hazard
healthier than 80%
14%
Healthcare Access
healthier than 76%
5%
Holding it back
Social Need / SDOH
healthier than 6%
16%
Preventive Care
healthier than 1%
13%
Risk Behavior
healthier than 20%
11%
Mental Health
healthier than 36%
8%
Disability
healthier than 20%
7%
Climate / Disaster Risk
healthier than 9%
5%
Lifting this score
Chronic Disease Burden
healthier than 69%
21%
Environmental Hazard
healthier than 88%
14%
About typical
Healthcare Access
healthier than 54%
5%
Holding it back
Social Need / SDOH
healthier than 10%
16%
Preventive Care
healthier than 5%
13%
Risk Behavior
healthier than 9%
11%
Mental Health
healthier than 27%
8%
Disability
healthier than 19%
7%
Climate / Disaster Risk
healthier than 8%
5%
Lifting this score
Chronic Disease Burden
healthier than 89%
21%
Environmental Hazard
healthier than 65%
14%
About typical
Healthcare Access
healthier than 56%
5%
Holding it back
Social Need / SDOH
healthier than 13%
16%
Preventive Care
healthier than 5%
13%
Risk Behavior
healthier than 7%
11%
Mental Health
healthier than 34%
8%
Disability
healthier than 27%
7%
Climate / Disaster Risk
healthier than 5%
5%
“Share” is how much of this ZIP’s score the domain accounts for. Percentages are rounded; higher is healthier in every domain. How the score works, and who it compares you with ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
92201
Californiashares a border
Score 45.50
Closest healthier
92203
Californiashares a border
Score 55.16
Similar health profile
89142
Nevada98% similar profile
Score 41.22
How these were chosen: only ZIPs with a published Score appear — a nearby ZIP with too little data to score won’t. Nearby means closest by distance between ZIP boundaries, which can cross state lines. A similar health profile is a close match across the nine Score domains, not similar demographics. Distances are measured between ZIP boundaries — ZIPs that touch share a border. How distance is measured
Evidence
Every measure this page draws on, by source. Collapsed by default — the full data stays in the page for search engines either way.
Health OutcomesCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Arthritis among adults | 17.9% | 16.2–19.8 |
| High blood pressure among adults | 28.2% | 25.8–30.8 |
| Cancer (non-skin) or melanoma among adults | 3.3% | 3.0–3.6 |
| Current asthma among adults | 9.2% | 8.1–10.3 |
| Coronary heart disease among adults | 4.8% | 4.4–5.3 |
| Chronic obstructive pulmonary disease among adults | 4.2% | 3.7–4.7 |
| Depression among adults | 21.5% | 19.0–24.2 |
| Diagnosed diabetes among adults | 12.8% | 11.5–14.4 |
| High cholesterol among adults who have ever been screened | 33.2% | 30.5–36.0 |
| Obesity among adults | 40.7% | 36.5–45.0 |
| Stroke among adults | 2.7% | 2.5–2.9 |
| All teeth lost among adults aged >=65 years | 14.9% | 12.2–17.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 25.7% | 22.7–29.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 62.6% | 59.5–65.6 |
| Visits to doctor for routine checkup within the past year among adults | 65.6% | 62.3–69.0 |
| Cholesterol screening among adults | 78.6% | 76.3–80.9 |
| Colorectal cancer screening among adults aged 45–75 years | 48.2% | 43.7–52.7 |
| Visited dentist or dental clinic in the past year among adults | 48.2% | 44.9–51.6 |
| Mammography use among women aged 50-74 years | 75.8% | 69.5–81.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.3% | 13.1–17.7 |
| Current cigarette smoking among adults | 12.7% | 11.1–14.5 |
| No leisure-time physical activity among adults | 36.1% | 32.5–40.0 |
| Short sleep duration among adults | 41.3% | 37.0–45.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 33.0% | 30.1–35.9 |
| Frequent mental distress among adults | 19.5% | 17.5–21.5 |
| Frequent physical distress among adults | 16.9% | 15.2–18.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 21.4% | 19.2–23.6 |
| Any disability among adults | 40.1% | 36.6–43.6 |
| Hearing disability among adults | 5.6% | 5.0–6.3 |
| Independent living disability among adults | 10.9% | 9.8–12.1 |
| Mobility disability among adults | 17.2% | 15.5–19.0 |
| Self-care disability among adults | 5.3% | 4.9–5.8 |
| Vision disability among adults | 9.4% | 8.6–10.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 33.1% | 29.6–36.7 |
| Food insecurity in the past 12 months among adults | 35.3% | 31.7–39.2 |
| Received food stamps in the past 12 months among adults | 27.7% | 24.7–31.0 |
| Housing insecurity in the past 12 months among adults | 29.6% | 26.5–32.9 |
| Lack of reliable transportation in the past 12 months among adults | 16.3% | 14.5–18.2 |
| Loneliness among adults | 41.5% | 37.5–45.4 |
| Utility services shut-off threat in the past 12 months among adults | 13.2% | 11.6–14.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.2% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 14.3% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 44.6% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 7.6% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 9.1% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 4.3% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 93.0% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 37.9% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 63.9% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 10.4% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 39.8% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 35.9% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 9.9% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 33.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $68,393 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $369,000 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,142 | $1,021 ($677–$1,912) n=25,670 | $1,912 ($1,113–$2,923) n=1,461 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 79.0 yr ± 0.71 | 78.9 yr (74.7–82.8) n=31,308 | 80.5 yr (76.7–83.8) n=1,665 |
About the ± — it’s this estimate’s give-or-take (statisticians call it the standard error). The true life expectancy for this ZIP most likely falls within 0.71 years of 79.0, and it’s very unlikely to be off by more than twice that.
More ZIPs to explore ▾More ZIPs to explore ▴
How these lists were built: they draw only from ZIPs that have a published Score, so ZIPs with too little data to score are not listed. Distance-based lists use distance between ZIP boundaries with no state filter, so an out-of-state ZIP can appear. Statistically similar means a close match across the nine Score domains, not a demographic match: the measure is the cosine similarity between two ZIPs’ domain scores, taken over the domains both ZIPs have data for and only where that overlap covers at least six of the nine — and where no ZIP clears that minimum-overlap floor, that list is left out rather than filled with a weak match. How distance is measured